Tiszakecske FC vs Balmazujvaros: result 0-1 and analysis
NB IIRegular Season - 36Kick-off on May 5, 2019 at 03:00 PM (UTC)Városi Stadion, Tiszakécske
Full time
What was the result of Tiszakecske FC vs Balmazujvaros?
Balmazujvaros won 0-1 on May 5, 2019.
Goalscorers
- 90′?Balmazujvaros
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tiszakecske FC have 2 wins, 7 draws and 6 defeats; Balmazujvaros have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Budafoki LC(away) | 0-1 | NB II |
| Apr 28, 2019 | Kaposvar(away) | 1-2 | NB II |
| Apr 21, 2019 | Nyiregyhaza(home) | 0-0 | NB II |
| Apr 14, 2019 | Bekescsaba 1912(away) | 2-1 | NB II |
| Apr 7, 2019 | Gyori ETO FC(home) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Kaposvar(home) | 0-2 | NB II |
| Apr 28, 2019 | Nyiregyhaza(away) | 0-1 | NB II |
| Apr 21, 2019 | Bekescsaba 1912(home) | 0-1 | NB II |
| Apr 14, 2019 | Gyori ETO FC(away) | 0-2 | NB II |
| Apr 7, 2019 | Csakvar(home) | 1-3 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 1 Tiszakecske FC win(s), 0 draw(s), 0 Balmazujvaros win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2018 | Balmazujvaros 1-2 Tiszakecske FC | NB II |
Last archived meeting: Balmazujvaros vs Tiszakecske FC on Nov 11, 2018
How many goals should we expect?
Tiszakecske FC score 0.7 and concede 1.1 goals per match over their last 15; Balmazujvaros score 0.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tiszakecske FC | 0.7 | 1.1 | 4 | 7/15 | 4/15 |
| Balmazujvaros | 0.6 | 1.7 | 3 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tiszakecske FC | 5 | 2 | 3 | 0 | 10 | 6 | 9 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy